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SparseM (version 1.83)

Sparse Linear Algebra

Description

Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.

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Version

Install

install.packages('SparseM')

Monthly Downloads

271,674

Version

1.83

License

GPL (>= 2)

Maintainer

Roger Koenker

Last Published

May 30th, 2024

Functions in SparseM (1.83)

matrix.ssr-class

Class "matrix.ssr"
slm.methods

Methods for slm objects
numeric or NULL-class

Class "numeric or NULL"
summary.mslm-class

Class "summary.mslm"
summary.slm-class

Class "summary.slm"
slm.fit

Internal slm fitting functions
triogramX

A Design Matrix for a Triogram Problem
matrix.csr.chol-class

Class "matrix.csr.chol"
slm

Fit a linear regression model using sparse matrix algebra
slm-class

Class "slm"
matrix.ssc-class

Class "matrix.ssc"
SparseM.hb

Harwell-Boeing Format Sparse Matrices
matrix.csc-class

Class "matrix.csc"
SparseM.ontology

Sparse Matrix Class
lsq

Least Squares Problems in Surveying
SparseM.solve

Linear Equation Solving for Sparse Matrices
SparseM.image

Image Plot for Sparse Matrices
character or NULL-class

Class "character or NULL"
matrix.coo-class

Class "matrix.coo"
matrix.csc.hb-class

Class "matrix.csc.hb"
SparseM.ops

Basic Linear Algebra for Sparse Matrices
mslm-class

Class "mslm"
matrix.csr-class

Class "matrix.csr"
matrix.ssc.hb-class

Class "matrix.ssc.hb"